@[email protected] to Linux [email protected]English • 10 months agoLinux hits 4% on the desktop 🐧📈gs.statcounter.commessage-square36fedilinkarrow-up11arrow-down10cross-posted to: technology[email protected][email protected][email protected][email protected][email protected]linux[email protected][email protected]
arrow-up11arrow-down1external-linkLinux hits 4% on the desktop 🐧📈gs.statcounter.com@[email protected] to Linux [email protected]English • 10 months agomessage-square36fedilinkcross-posted to: technology[email protected][email protected][email protected][email protected][email protected]linux[email protected][email protected]
minus-square@[email protected]linkfedilinkEnglish0•10 months ago What if its exponential growth? Then we should expect that in ~35 years, 200% of users will be using desktop linux.
minus-squareTlaloc_TemporallinkfedilinkEnglish0•10 months agoLinux on the main and second computers‽ Wow!
minus-square@[email protected]linkfedilinkEnglish0•10 months agoThe math chec…wait, no. That math doesn’t check out at all.
minus-square@[email protected]linkfedilinkEnglish0•edit-210 months agoOk, fine, I’ll do the actual curve fitting instead of just estimating. Eyeballing it, were saying 1% in 2013, 2% in 2021, 3% in 2023? Gives us a fit of… 0.873 * exp(0.118 * x) So… Correct the equation and solve for x x_target = np.log(200 / a) / b Calculate the actual year year_target = 2013 + x_target print(year_target) In ~2058 everyone will be using two linux desktops at once.
minus-square@[email protected]linkfedilinkEnglish0•10 months agoIf you don’t think of the increase in speed of new users as continuing to increase exponentially.
minus-square@[email protected]linkfedilinkEnglish0•10 months agoIsn’t that the point of the exponent in the exponential function?
What if its exponential growth?
Then we should expect that in ~35 years, 200% of users will be using desktop linux.
Linux on the main and second computers‽ Wow!
Running a linux vm on linux
yo dawg…
The math chec…wait, no. That math doesn’t check out at all.
Ok, fine, I’ll do the actual curve fitting instead of just estimating.
Eyeballing it, were saying 1% in 2013, 2% in 2021, 3% in 2023?
Gives us a fit of…
0.873 * exp(0.118 * x)
So…
Correct the equation and solve for x
x_target = np.log(200 / a) / b
Calculate the actual year
year_target = 2013 + x_target
print(year_target)
In ~2058 everyone will be using two linux desktops at once.
If you don’t think of the increase in speed of new users as continuing to increase exponentially.
Isn’t that the point of the exponent in the exponential function?